Abstract
In this chapter, we shall define stochastic integrals of the form \(int_{[0,t]}\) X dM where M is a right continuous local L 2-martingale and X is a process satisfying certain measurability and integrability assumptions, such that the family of stochastic integrals \( \{ \int_{{[0,t]}} {X\,dM,t \in {{\mathbb{R}}_{ + }}} \} \) is a right continuous local L 2-martingale. For certain M and X, the integral can be defined path-by-path. For instance, if M is a right continuous local L 2-martingale whose paths are locally of bounded variation, and X is a continuous adapted process, then \(int_{[0,t]}^{}{{X_s}d{M_s}}(\omega )\) is well-defined as a Riemann-Stieltjes integral for each t and ω, namely by the limit as n → ∞ of
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© 1990 Birkhäuser Boston
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Chung, K.L., Williams, R.J. (1990). Definition of the Stochastic Integral. In: Introduction to Stochastic Integration. Probability and Its Applications. Birkhäuser Boston. https://doi.org/10.1007/978-1-4612-4480-6_2
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DOI: https://doi.org/10.1007/978-1-4612-4480-6_2
Publisher Name: Birkhäuser Boston
Print ISBN: 978-1-4612-8837-4
Online ISBN: 978-1-4612-4480-6
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